Recent Releases of TensorInference
TensorInference - v0.6.2
TensorInference v0.6.2
Merged pull requests: - Upgrade omeinsum to version 0.9.1 (#101) (@GiggleLiu)
Closed issues: - Complex entries need to be conjugated after costandgradient (#98)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] 10 months ago
TensorInference - v0.6.1
TensorInference v0.6.1
Merged pull requests: - Demo: fix tests in complex BP (#100) (@GiggleLiu)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] 11 months ago
TensorInference - v0.6.0
TensorInference v0.6.0
Breaking changes
- Changed the
marskeyword ofTensorNetworkModelargument tounity_tensors_labelsto be more accurate. - Changed the
varsfield ofTensorNetworkModeltonvars. It seems not nessesary to name the variables. - Removed a lot of unused interfaces for
TensorNetworkModel. - Move the autodiff related feastures to
OMEinsum.
The following APIs are added:
- BeliefPropgation: create a belief propagation model instance, which can be derived from the UAI model.
- belief_propagate: perform message passing until convergence, returns a BPState object and extra info.
- random_tensor_train_uai and random_matrix_product_uai: two UAI models for testing.
Merged pull requests: - Implement Belief propagation as a new inference backend (#97) (@GiggleLiu)
Closed issues: - Precompilation is commented out (#64)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] about 1 year ago
TensorInference - v0.5.0
TensorInference v0.5.0
Breaking changes
- Add ProblemReductions as a dependency. Now we can convert a statistical model into a tensor network with a single function call.
- Add the CUDA extension, replacing the previous Requires.
Merged pull requests: - Switch from Requires to extensions (#81) (@GiggleLiu) - Fix show method for the MMAP model (#95) (@GiggleLiu) - Fix sampling algorithm (#96) (@GiggleLiu)
Closed issues:
- Issue with MMAPModel and most_probable_config Function (#93)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] about 1 year ago
TensorInference - v0.4.2
TensorInference v0.4.2
Merged pull requests: - CompatHelper: add new compat entry for Artifacts at version 1, (keep existing compat) (#89) (@github-actions[bot]) - Add a function to generate tensor network model by optimized EinCode (#90) (@ArrogantGao) - update generic tensor network to version 2.0 (#92) (@GiggleLiu)
Closed issues:
- different behavior of argmax for Vector and Matrix leads to error (#91)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] about 2 years ago
TensorInference - v0.4.1
TensorInference v0.4.1
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] over 2 years ago
TensorInference - v0.4.0
TensorInference v0.4.0
Merged pull requests: - Let marginals return dict (#61) (@GiggleLiu) - Fix issues: 62 69 66 (#70) (@GiggleLiu) - docs: add a section on performance evaluation (#74) (@mroavi) - Fix the overflow issue in probability (#78) (@GiggleLiu) - CompatHelper: bump compat for TropicalNumbers to 0.6, (keep existing compat) (#82) (@github-actions[bot]) - CompatHelper: bump compat for CUDA to 5, (keep existing compat) (#83) (@github-actions[bot])
Closed issues: - Improve convering combinatorial optimization problems (#59) - Asia network log partition is zero in the docs (#62) - UAI reference comparison tests often fail (#65) - Tensor networks are never defined (#66) - State of the field is missing (#67) - Performance evaluation is missing (#68) - Quirks in the hard-core lattice gas example (#69) - Code example in paper (#76) - Arithmetic overflow or underflow when solving PR tasks (#77)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] over 2 years ago
TensorInference - v0.3.0
TensorInference v0.3.0
Closed issues: - Combinatorial optimization example (#55) - Joint marginal probability (#56)
Merged pull requests:
- Example: hard core lattice gas (#58) (@GiggleLiu)
- Return Samples type instead of a matrix (#60) (@GiggleLiu)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] almost 3 years ago
TensorInference - v0.2.1
TensorInference v0.2.1
Merged pull requests: - Port GenericTensorNetworks (#57) (@GiggleLiu)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] almost 3 years ago
TensorInference - v0.2.0
TensorInference v0.2.0
Closed issues: - Running the test suit in CI takes extremely long and sometimes fails (#43) - Support data downloading and loading (#44) - Removing inplace operations (#49)
Merged pull requests: - remove tropicalgemm as a dependency (#48) (@GiggleLiu) - Support artifact downloading and reading (#50) (@mroavi) - refactor uai reading (#51) (@GiggleLiu) - Fix some issues (#52) (@GiggleLiu) - fix model printing (#53) (@GiggleLiu)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] almost 3 years ago
TensorInference - v0.1.0
TensorInference v0.1.0
Closed issues:
- Implement MMAP (#7)
- CUDA support (#10)
- Use artifacts in favor of the data dir (#14)
- Inference errors or fails for 105 of the 142 UAI 2014 Inference Competition problems (#15)
- Set automatic benchmarks in CI (#20)
- Implement the sampling algorithm (#21)
- Use test/Project.toml in favor of [extras] in Project.toml (#23)
- Use @debug in favor of @info throughout the codebase (#24)
- Move CI benchmark to another repository (#27)
- Remove Artifacts as a project dependency (#32)
- Support reading solution files for the MAP, MMAP and PR tasks (#35)
- Make the repo public (#37)
- Hash mismatch when downloading artifact (#38)
- Refactor MMAPModel such that it takes the query vars instead of the marginalzed vars (#40)
Merged pull requests: - Clean up the project (#3) (@GiggleLiu) - Finding the most probable configuration with tropical numbers (#4) (@GiggleLiu) - refactor interfaces (#5) (@GiggleLiu) - MMAP - most probable configuration after marginalizing some variables (#9) (@GiggleLiu) - CUDA support (#12) (@GiggleLiu) - time space complexity estimate for MMAP (#13) (@GiggleLiu) - Rescale tensors and choose correct contraction order optimizer in tests (#16) (@GiggleLiu) - Define a format style and format all files using JuliaFormatter.jl (#17) (@mroavi) - Run benchmarks in CI and send results to TensorBFS/TensorInference-data (#18) (@mroavi) - Run benchmarks in CI and push results to TensorBFS/TensorInference-data (#19) (@mroavi) - Add Asia example and polish the interfaces (#22) (@GiggleLiu) - Use test/Project.toml in favor of [extras] in Project.toml (#25) (@mroavi) - Add tropicalgemm and precompile (#26) (@GiggleLiu) - Sampling configurations (#28) (@GiggleLiu) - Improve the performance of sampling (#30) (@GiggleLiu) - Refactor inference tests (#31) (@mroavi) - Move Artifacts.toml from main project to test project (#33) (@mroavi) - Use MAP in favor of MPE (#34) (@mroavi) - Support reading solution files for the MAP, MMAP and PR tasks (#36) (@mroavi) - UAI reference solution comparison tests (#41) (@mroavi) - Fix mmap constructor, add UAIInstance pretty printing (#45) (@GiggleLiu) - Enhance docs (#46) (@mroavi)
Scientific Software - Peer-reviewed
- Julia
Published by github-actions[bot] almost 3 years ago